On 25/03/2009, at 10:04 AM, Frank E Harrell Jr wrote:
Ravi Varadhan wrote:
Hi,
I am looking for a data set containing the information from a
randomized trial evaluating the effect of DES (diethylsilbestrol)
on multiple time-to-event endpoints, prostate cancer, CVD, and
other causes. The original source of this data is Green and Byar
(1980). This is a popular competing risks problem that has
subsequently been discussed in a number of statistical papers
including Kay (1986).
Does anyone have a digital version of this data set?
This data is also presented in Andrews, D. F. and Herzberg, A. M.
(1985). Data. Does a digital version of all the data sets in A &
H exist?
Thanks very much,
Ravi.
An R binary dataset is at http://biostat.mc.vanderbilt.edu/Datasets
Note that there is something strange about the AP variable with a
lot of
ties at some value near 1.0. I have never been able to find any
documentation about this problem. If you find any please let me know.
Out of idle curiosity I went to have a look at this data set.
I had problems.
(1) The given URL didn't work for me; when I clicked on it, I got an
error 404.
But if I went to http://biostat.mc.vanderbilt.edu I found a link to
``Datasets'',
and clicking on that got me to some data sets.
(2) Scrolling down to ``Byar and Green prostate cancer data''
appeared to get
me to the right place. But I couldn't see any signs of any ``R
binary files''.
The available formats appear to be *.sav (SPSS?), *.sdd (???), and
*.xls.
(3) I downloaded the prostate.xls file O.K. But when I tried to read
it in with
the read.xls() function from the gdata package, I got an error to the
effect
> X <- read.xls("prostate.xls")
Converting xls file to csv file... Done.
Reading csv file... Error in read.table(file = file, header = header,
sep = sep, quote = quote, :
no lines available in input
I was able to ``open'' the prostate.xls file with the version of
Excel available
on my Mac, save it as a *.csv file, and then read *that* in with
read.csv()
What am I missing? *Are* there ``R binary'' files lurking about that
I am somehow
not seeing? Why won't read.xls() work on this data set?
cheers,
Rolf Turner
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